CN115409423A

CN115409423A - Service processing method and device, electronic equipment and storage medium

Info

Publication number: CN115409423A
Application number: CN202211204874.XA
Authority: CN
Inventors: 周晓雨
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2022-09-29
Filing date: 2022-09-29
Publication date: 2022-11-29

Abstract

The disclosure provides a business processing method, a business processing device, electronic equipment and a storage medium, which can be applied to the technical field of computers and the technical field of finance. The method comprises the following steps: responding to the trigger timing task, screening the business data to be quality-tested from the data warehouse by using a screening model, and segmenting and packaging the business data into a plurality of quality-testing tasks according to processing nodes associated with the business data; for each quality inspection task, determining quality inspection permission levels of a plurality of quality inspection nodes in the quality inspection system based on first node information of processing nodes associated with the quality inspection task; based on the quality inspection permission levels of the quality inspection nodes, distributing a quality inspection task to a first target quality inspection node by using a load balancing strategy, and generating and returning quality inspection feedback information; and determining a quality inspection result of the service data based on quality inspection feedback information respectively related to the plurality of quality inspection tasks.

Description

Service processing method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of computer technologies and the field of financial technologies, and in particular, to a method and an apparatus for processing a service, an electronic device, a storage medium, and a computer program product.

Background

The remote centralized authorization is an operation mode that a network front desk synchronously transmits transaction pictures, service certificates, client certificates and other real object electronic image data of counter authorization services to an authorization center through a remote centralized authorization system, and a background authorization auditor audits authorization, and is one of important means for improving the service handling efficiency of bank network nodes at present, and meanwhile, a service department also has the requirement of quality inspection on the remote centralized authorization services.

In the related art, for the inspection of the quality of the remote centralized authorization service, a manager is usually required to manually pull the historical operation detail of the remote centralized authorization service completed by the staff, and manually screen the selective inspection data, so that the process is complicated, and the processing efficiency of the quality inspection task is low.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a service processing method, apparatus, electronic device, storage medium, and computer program product.

One aspect of the present disclosure provides a service processing method, including: responding to the triggering timing task, screening the business data to be subjected to quality inspection from the data warehouse by using a screening model, wherein the business data is generated by the processing node after the centralized authorization business is completed; dividing and packaging the business data into a plurality of quality inspection tasks according to the processing nodes associated with the business data; for each quality inspection task, determining quality inspection authority levels of a plurality of quality inspection nodes in a quality inspection system based on first node information of processing nodes associated with the quality inspection task; distributing the quality inspection task to a first target quality inspection node by using a load balancing strategy based on quality inspection permission levels of a plurality of quality inspection nodes, wherein the first target quality inspection node belongs to the plurality of quality inspection nodes, and the first target quality inspection node is configured to process the quality inspection task, generate and return quality inspection feedback information; and determining a quality inspection result of the service data based on quality inspection feedback information respectively related to the plurality of quality inspection tasks.

According to an embodiment of the present disclosure, the determining quality inspection authority levels of a plurality of quality inspection nodes in a quality inspection system based on the first node information of the processing node associated with the quality inspection task includes: for each quality inspection node, comparing second node information of the quality inspection node with the first node information to obtain a comparison result; determining an association relationship between the processing node and the quality inspection node based on the comparison result; and adjusting the initial permission level of the quality inspection node based on the incidence relation to obtain the quality inspection permission level.

According to an embodiment of the present disclosure, the association relationship includes a dependency relationship; wherein, the adjusting the initial permission level of the quality inspection node based on the association relationship to obtain the quality inspection permission level includes: performing degradation processing on the initial permission level of the quality inspection node to obtain the quality inspection permission level when the quality inspection node is a lower node of the processing node; under the condition that the quality inspection node is a superior node of the processing node, upgrading the initial permission level of the quality inspection node to obtain the quality inspection permission level; and determining the quality inspection authority level as the initial authority level under the condition that the subordinate relationship does not exist between the quality inspection node and the processing node.

According to an embodiment of the present disclosure, the allocating the quality inspection task to the first target quality inspection node by using a load balancing policy based on quality inspection permission levels of a plurality of quality inspection nodes includes: determining at least one second target quality inspection node from the plurality of quality inspection nodes based on the quality inspection authority levels of the plurality of quality inspection nodes; determining the first target quality inspection node from at least one second target quality inspection node by using the load balancing strategy; and distributing the quality inspection task to the first target quality inspection node.

According to an embodiment of the present disclosure, the determining at least one second target quality inspection node from the plurality of quality inspection nodes based on quality inspection authority levels of the plurality of quality inspection nodes includes: and for each quality inspection node, determining the quality inspection node as the second target quality inspection node under the condition that the quality inspection authority level of the quality inspection node is greater than a preset level.

According to an embodiment of the present disclosure, the determining the first target quality inspection node from at least one second target quality inspection node by using the load balancing policy includes: sequentially determining the working state of at least one second target quality inspection node according to the sequence of the quality inspection authority levels from high to low; and determining the second target quality inspection node as the first target quality inspection node when the working state of the second target quality inspection node is an idle state.

According to an embodiment of the present disclosure, the screening model is configured with a screening frequency and a screening rule in response to triggering the timing task; the screening of the business data to be quality-checked from the data warehouse by using the screening model includes: responding to the triggering of the timing task, and acquiring first business data generated during the triggering period of the timing task from the data warehouse; screening the first service data by using the screening rule to obtain second service data; and sampling the second service data based on the screening frequency to obtain the service data.

According to an embodiment of the present disclosure, the method further includes: acquiring a database change log of the processing node under the condition that incremental data is written in the database of the processing node; and synchronizing the incremental data to the data warehouse when the database change log is related to a centralized authorization service.

Another aspect of the present disclosure provides a service processing apparatus, including: the screening module is used for responding to the triggering timing task and screening the service data to be subjected to quality inspection from the data warehouse by using the screening model, wherein the service data is generated by the processing node after the centralized authorization service is completed; the segmentation module is used for segmenting and packaging the service data into a plurality of quality inspection tasks according to the processing nodes related to the service data; the first determining module is used for determining the quality inspection permission levels of a plurality of quality inspection nodes in the quality inspection system based on the first node information of the processing nodes related to the quality inspection tasks for each quality inspection task; the distribution module is used for distributing the quality inspection tasks to first target quality inspection nodes by using a load balancing strategy based on quality inspection permission levels of the quality inspection nodes, wherein the first target quality inspection nodes belong to the quality inspection nodes, and the first target quality inspection nodes are configured to process the quality inspection tasks and generate and return quality inspection feedback information; and a second determining module, configured to determine a quality inspection result of the service data based on quality inspection feedback information respectively related to the multiple quality inspection tasks.

Another aspect of the present disclosure provides an electronic device including: one or more processors; a memory for storing one or more instructions, wherein the one or more instructions, when executed by the one or more processors, cause the one or more processors to implement a method as described above.

Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.

Another aspect of the disclosure provides a computer program product comprising computer executable instructions that when executed are for implementing a method as described above.

According to the service processing method, the device, the electronic equipment, the storage medium and the computer program product provided by the disclosure, quality inspection is performed on service data generated by centralized authorization service in a period of time at intervals; in the quality inspection process, the service data is divided into a plurality of quality inspection tasks, the quality inspection permission level of each quality inspection task by a plurality of quality inspection nodes is determined, and the quality inspection tasks are distributed in a load balance distribution mode. According to the scheme, the quality inspection task is processed by utilizing the determined quality inspection permission level and combining a load balanced distribution mode, the technical problem that the processing efficiency of the quality inspection task is low is at least partially solved, and the processing efficiency of the quality inspection task is effectively improved.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:

fig. 1 schematically illustrates an exemplary system architecture to which the traffic processing method and apparatus may be applied, according to an embodiment of the present disclosure;

FIG. 2 schematically shows a flow diagram of a traffic handling method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow diagram of a method of business processing, in accordance with a particular embodiment of the present disclosure;

FIG. 4 schematically shows a flow diagram of a traffic handling method according to another embodiment of the present disclosure;

fig. 5 schematically shows a block diagram of a traffic processing device according to an embodiment of the present disclosure; and

fig. 6 schematically shows a block diagram of an electronic device adapted to implement a traffic processing method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that these descriptions are illustrative only and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

In those instances where a convention analogous to "at least one of A, B, and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B, and C" would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.).

When performing internal business processing, enterprise managers usually need to perform spot check on the quality of the business completed by related employees, and output employee business quality check lists and check results.

At present, for the inspection of the service quality of the staff, a manager is generally required to manually pull the details of the historical operation completed by the staff, manually screen the sampling inspection data, manually check a mail flow quality inspection list under an online manner, and manually register a quality inspection result, so that the process is relatively complicated, the processing efficiency of a quality inspection task is relatively low, the deep analysis of the service operation quality inspection is difficult to realize, and a decision basis cannot be provided for improving the service processing efficiency.

In view of the above, the present disclosure provides a service processing method, apparatus, electronic device, storage medium, and computer program product. The method comprises the following steps: responding to the trigger timing task, screening the business data to be subjected to quality inspection from the data warehouse by using a screening model, wherein the business data is generated by the processing node after the centralized authorization business is completed; according to the processing nodes associated with the service data, the service data are divided and packaged into a plurality of quality inspection tasks; for each quality inspection task, determining quality inspection permission levels of a plurality of quality inspection nodes in a quality inspection system based on first node information of processing nodes associated with the quality inspection task; based on quality inspection permission levels of a plurality of quality inspection nodes, distributing a quality inspection task to a first target quality inspection node by using a load balancing strategy, wherein the first target quality inspection node belongs to the plurality of quality inspection nodes, and the first target quality inspection node is configured to process the quality inspection task, generate and return quality inspection feedback information; and determining a quality inspection result of the service data based on quality inspection feedback information respectively related to the plurality of quality inspection tasks.

It should be noted that the service processing method and apparatus determined in the embodiments of the present disclosure may be used in the fields of computer technology and financial technology, and may also be used in any fields other than the fields of computer technology and financial technology. The application fields of the service processing method and the service processing device determined by the embodiment of the disclosure are not limited.

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user all accord with the regulations of related laws and regulations, necessary security measures are taken, and the commonness and the customs are not violated.

In the technical scheme of the disclosure, before the personal information of the user is acquired or collected, the authorization or the consent of the user is acquired.

Fig. 1 schematically illustrates an exemplary system architecture to which the traffic processing method and apparatus may be applied, according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of an application scenario in which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 1, an application scenario 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104 and a host 105. Network 104 is the medium used to provide communication links between

terminal devices

101, 102, 103 and host 105. Network 104 may include various connection types, such as wired and/or wireless communication links, and so forth.

The

terminal devices

101, 102, 103 may be various electronic devices having processing functionality including, but not limited to, smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

According to the embodiment of the present disclosure, the

terminal devices

101, 102, 103 may further have a display screen and an input device, for example, to realize interaction with a user through the display screen and the input device. For example, the

terminal devices

101, 102, 103 may present the scenario of the business process to the user via a display screen.

According to the embodiment of the present disclosure, the

terminal devices

101, 102, 103 may also be installed with various client applications, such as an instant messaging tool, a mailbox client, a programming tool, and the like. The user may complete the compilation of a version package for a system or application on the

terminal device

101, 102, 103 and send the version package to the host 105 over the network 104.

The host 105 may be a server that provides various services, such as a background management server that provides support for various systems or applications.

It should be noted that the service processing method provided by the embodiment of the present disclosure may be generally executed by the host 105. Accordingly, the service processing device provided by the embodiment of the present disclosure may be generally disposed in the host 105.

It should be understood that the number of end devices, networks, and hosts in fig. 1 is merely illustrative. There may be any number of end devices, networks, and hosts, as desired for an implementation.

Fig. 2 schematically shows a flow chart of a traffic processing method according to an embodiment of the present disclosure.

As shown in fig. 2, the method includes operations S201 to S205.

In operation S201, in response to the triggering of the timing task, the screening model is used to screen the service data to be quality-checked from the data warehouse, where the service data is generated by the processing node after the centralized authorization service is completed.

In operation S202, the service data is segmented and encapsulated into a plurality of quality inspection tasks according to the processing node associated with the service data.

In operation S203, for each quality inspection task, quality inspection authority levels of a plurality of quality inspection nodes in the quality inspection system are determined based on first node information of processing nodes associated with the quality inspection task.

In operation S204, based on the quality inspection permission levels of the multiple quality inspection nodes, the quality inspection task is distributed to the first target quality inspection node by using a load balancing strategy, where the first target quality inspection node belongs to the multiple quality inspection nodes, and the first target quality inspection node is configured to process the quality inspection task, generate and return quality inspection feedback information.

In operation S205, a quality inspection result of the service data is determined based on quality inspection feedback information respectively associated with a plurality of quality inspection tasks.

According to embodiments of the present disclosure, a timed task may refer to a task that is initiated at intervals, which may be set manually, such as at intervals of one day or one week.

According to the embodiment of the disclosure, the screening model can be used for screening the service data to be quality-checked from a data warehouse, wherein the data warehouse can be a warehouse for storing various service data, and the data warehouse contains various service data.

According to the embodiment of the disclosure, the company staff can generate corresponding business data when processing the company business, and in order to ensure the quality of business processing, the company management staff can perform quality inspection on the business data in a sampling inspection mode.

According to the embodiment of the disclosure, the process of performing quality inspection on the business data may include a corresponding processing node, for example, the processing node may be a processing node of a bank head office for performing business quality inspection on a certain branch. Meanwhile, the service to be subjected to quality inspection can be subjected to centralized authorization, so that company management personnel can process corresponding quality inspection work.

According to the embodiment of the disclosure, the business data may include a plurality of task data requiring quality inspection, for example, the business data of the bank may include task data of a head office to a plurality of branches and branches requiring quality inspection.

According to the embodiment of the disclosure, the business data can be divided into a plurality of task data according to the processing node associated with the business data, and the plurality of task data can be packaged into a plurality of quality inspection tasks. For example, the first quality inspection task may include business quality inspection of a certain branch line by a head office, and the second quality inspection task may include business quality inspection of a certain branch line by a branch line.

According to an embodiment of the present disclosure, the first node information may be related information of an organization to which the processing node is subordinate, the related information including, for example, a hierarchy, a geographical location, and the like of the organization; the first node information may also be related information of an operator corresponding to the processing node, such as authority, job title, position, and the like of the operator. The first node information can be obtained by matching account information of a company manager when the company manager logs in the company quality inspection system.

According to the embodiment of the disclosure, the quality inspection permission level of the quality inspection node in the quality inspection system can be determined based on the first node information, wherein the quality inspection node can represent the service process node information to be subjected to quality inspection, which is required to be initiated by the employee after the employee completes the service, and the quality inspection permission level of the employee can be obtained through the first node information. For example, an operator in a certain bank needs to submit a service to be quality-checked, the operator logs in a quality-checking system of the bank to initiate a quality-checking process, and the first node information of the operator can determine that the quality-checking authority level is, for example, primary.

According to an embodiment of the present disclosure, the quality inspection node may include a target quality inspection node, where the target quality inspection node represents a service node to be quality inspected. The first target quality inspection node may be configured to process a quality inspection task, and may generate and return relevant quality inspection feedback information after processing the quality inspection task, where the quality inspection feedback information may characterize a quality inspection result of the service data.

According to the embodiment of the disclosure, the load balancing strategy can preferentially allocate the processing nodes in the idle state to the first target quality inspection node, so that the resources of each processing node can be balanced, the target quality inspection nodes can be processed in time, and the processing efficiency of the quality inspection task is improved.

According to the embodiment of the disclosure, the quality inspection result of the service data can be determined based on the quality inspection feedback information related to a plurality of quality inspection tasks. For example, if the quality inspection feedback information is good or good, it can be determined that the quality inspection result is a pass. Therefore, the service quality inspection processing is carried out through the online process according to the quality inspection result determined by the quality inspection feedback information, and the accuracy of the quality inspection feedback information can be improved.

According to the embodiment of the disclosure, quality inspection is carried out on service data generated by centralized authorization service in a period of time by each interval of time; in the quality inspection process, the service data is divided into a plurality of quality inspection tasks, the quality inspection permission level of each quality inspection task by a plurality of quality inspection nodes is determined, the quality inspection tasks are distributed in a load balance distribution mode, and the quality inspection tasks are processed, so that the processing efficiency of the quality inspection tasks can be effectively improved.

According to the embodiment of the disclosure, determining the quality inspection authority levels of a plurality of quality inspection nodes in a quality inspection system based on the first node information of the processing nodes associated with the quality inspection task comprises: for each quality inspection node, comparing second node information of the quality inspection node with first node information to obtain a comparison result; determining an incidence relation between the processing node and the quality inspection node based on the comparison result; and adjusting the initial permission level of the quality inspection node based on the incidence relation to obtain the quality inspection permission level.

According to an embodiment of the present disclosure, the second node information may be related information of an organization to which the quality inspection node is subordinate, the related information including, for example, a hierarchy, a geographical location, and the like of the organization; the second node information may also be related information of an operator corresponding to the quality inspection node, such as authority, job title, position, and the like of the operator. The second node information can be obtained by matching account information of business personnel when the business personnel logs in the company quality inspection system.

According to the embodiment of the disclosure, for each quality inspection node, the second node information of the company service personnel and the first node information of the company management personnel can be compared to obtain a comparison result, so as to determine the relationship between the processing node and the quality inspection node according to the comparison result. For example, the quality inspection node is a business quality inspection of a certain branch by a head office of a bank, the second node information in the quality inspection system can be compared with the first node information, and the second node information of business personnel of the branch and the first node information of management personnel corresponding to the head office can be determined according to the comparison result.

According to the embodiment of the disclosure, different quality inspection tasks can have different quality inspection nodes, and the initial permission level can be adjusted according to different quality inspection nodes to obtain the quality inspection permission level, so that the circulation of a quality inspection process is facilitated.

According to an embodiment of the present disclosure, the incidence relation includes an affiliation; based on the incidence relation, the initial permission level of the quality inspection node is adjusted to obtain a quality inspection permission level, and the method comprises the following steps: performing degradation processing on the initial permission level of the quality inspection node under the condition that the quality inspection node is a lower node of the processing node to obtain a quality inspection permission level; under the condition that the quality inspection node is a superior node of the processing node, upgrading the initial permission level of the quality inspection node to obtain a quality inspection permission level; and under the condition that the quality inspection node and the processing node have no dependency relationship, determining the quality inspection permission level as an initial permission level.

According to an embodiment of the present disclosure, the association relationship may be an affiliation between company personnel or departments, for example, a branch or branch of a bank is affiliated with a head office, and a general clerk is affiliated with a head office.

According to the embodiment of the disclosure, if the quality inspection node is a lower node of the processing node, the initial authority of the quality inspection node can be degraded, so that the business quality inspection flow is processed by a higher node after flowing from the lower node to the higher node. For example, if the quality inspection node is a branch node of a bank and the processing node is a branch node of the bank, the initial authority of the branch node is degraded, so that the quality inspection process of the banking business is transferred from the branch node to the branch node and processed by a branch mechanism.

According to the embodiment of the disclosure, if the quality inspection node is a superior node of the processing node, the initial permission of the quality inspection node can be upgraded, so that the service quality inspection process is processed by the superior after being transferred from the subordinate to the superior. For example, if the quality inspection node is a head office node of a bank and the processing node is a branch node of the bank, the initial authority of the head office node is upgraded, so that the quality inspection process of the banking business is transferred from the branch node to the head office node and processed by a head office organization.

According to the embodiment of the disclosure, if the quality inspection node and the processing node have no dependency relationship, the quality inspection authority level can be directly determined to be the initial authority level without any processing. For example, the quality inspection node and the processing node are both branch nodes of a bank, the quality inspection node and the processing node belong to the same-level mechanism, no upper-level and lower-level relation exists, and the quality inspection authority level of the branch can be directly determined to be the initial authority level without processing the authority.

According to the embodiment of the disclosure, the circulation relationship of the service quality inspection process can be determined according to the subordinate relationship between the quality inspection node and the processing node, so that the initial authority of the quality inspection node is upgraded, degraded and the like, the circulation direction of the quality inspection task can be rapidly determined according to the superior-inferior relationship, and the processing efficiency of the quality inspection task is improved.

According to the embodiment of the disclosure, the method for distributing the quality inspection task to the first target quality inspection node by using the load balancing strategy based on the quality inspection permission levels of the plurality of quality inspection nodes comprises the following steps: determining at least one second target quality inspection node from the plurality of quality inspection nodes based on the quality inspection permission levels of the plurality of quality inspection nodes; determining a first target quality inspection node from at least one second target quality inspection node by using a load balancing strategy; and distributing the quality inspection task to the first target quality inspection node.

According to the embodiment of the disclosure, different quality inspection nodes can have different quality inspection permission levels, and at least one second target quality inspection node can be determined from a plurality of quality inspection nodes, wherein the second target quality inspection node can be a service node to be subjected to quality inspection.

According to the embodiment of the disclosure, the first target quality inspection node can be determined from the second target quality inspection node by using a load balancing strategy, so that the maximum utilization of resources is achieved, and the processing efficiency of quality inspection services is improved.

According to the embodiment of the disclosure, the quality inspection task can be distributed to the first target quality inspection node, so that a service person can conveniently initiate quality inspection service.

According to the embodiment of the disclosure, determining at least one second target quality inspection node from a plurality of quality inspection nodes based on quality inspection permission levels of the plurality of quality inspection nodes comprises: and for each quality inspection node, determining the quality inspection node as a second target quality inspection node under the condition that the quality inspection authority level of the quality inspection node is greater than the preset level.

According to the embodiment of the disclosure, the grade with higher quality inspection authority can be taken as the second target quality inspection node, so that the processing efficiency of the quality inspection task is improved. The preset grade can be set according to the business quality inspection requirement of the company, and the specific standard of the preset grade is not limited.

According to an embodiment of the present disclosure, determining a first target quality inspection node from at least one second target quality inspection node by using a load balancing policy includes: sequentially determining the working state of at least one second target quality inspection node according to the sequence of the quality inspection authority levels from high to low; and determining the second target quality inspection node as the first target quality inspection node under the condition that the working state of the second target quality inspection node is an idle state.

According to the embodiment of the disclosure, the working states of the second target quality inspection nodes corresponding to each quality inspection authority level can be determined in sequence according to the high-low ranking sequence of the quality inspection authority levels, wherein the working states of the second target quality inspection nodes can include idle states, crowded states and the like.

According to the embodiment of the disclosure, when the working state of the second target quality inspection node is the idle state, the second target quality inspection node can be determined as the first target quality inspection node, so that the quality inspection node in the idle state participates in the processing of the quality inspection task, and the processing efficiency of the quality inspection task is improved. For example, if the operating state of the second target quality inspection node a is idle and the operating state of the second target quality inspection node B is congested, the second target quality inspection node a is determined as the first target quality inspection node.

According to an embodiment of the disclosure, in response to triggering a timing task, a screening model is configured with a screening frequency and a screening rule; the method for screening the business data to be quality-checked from the data warehouse by using the screening model comprises the following steps: responding to the triggering of the timing task, and acquiring first business data generated during the triggering period of the timing task from a data warehouse; screening the first service data by using a screening rule to obtain second service data; and sampling the second service data based on the screening frequency to obtain the service data.

According to the embodiment of the disclosure, the screening model can be configured with screening frequency and screening rules, wherein the screening frequency can represent the frequency of two adjacent screening when the data warehouse is screened for multiple times, and the screening rules can represent rule conditions required to be met when the quality inspection tasks are screened from a large amount of business data contained in the data warehouse.

According to the embodiment of the disclosure, the first service data may be service data generated during the quality inspection task acquisition period, for example, if the timing task trigger period is one day, the first service data is service data generated during the day.

According to the embodiment of the disclosure, the first service data may include data information of multiple dimensions, the data information amount of the first service data is relatively large, and the quality inspection task to be processed may not require rich information amount, so that the first service data needs to be screened for the key condition according to the screening rule to obtain the required service data, that is, the second service data. The screening rule may be a key condition such as a name of an organization, a position grade of a person, and the like.

According to the embodiment of the present disclosure, the second service data may be sampled according to the screening frequency, for example, every other day, to obtain the service data. The screening frequency may be set according to a requirement, and is not limited herein.

Fig. 3 schematically shows a flow chart of a service processing method according to a specific embodiment of the present disclosure.

As shown in fig. 3, a service processing method according to an embodiment of the present disclosure includes operations S301 to S310.

In operation S301, in response to triggering the timed task, first business data generated during the triggering of the timed task is acquired from a data repository.

In operation S302, the first service data is filtered by using the filtering rule, so as to obtain second service data.

In operation S303, the second service data is sampled based on the screening frequency to obtain service data.

In operation S304, the service data is divided and encapsulated into a plurality of quality inspection tasks.

In operation S305, a quality inspection node in the quality inspection system is determined.

In operation S306, a processing node associated with a quality inspection node in a quality inspection task is determined.

In operation S307, the initial permission level of the quality inspection node is adjusted based on the association relationship between the processing node and the quality inspection node, so as to obtain a quality inspection permission level.

In operation S308, a quality inspection task is distributed to the first target quality inspection node by using a load balancing policy based on the quality inspection permission levels of the plurality of quality inspection nodes.

In operation S309, quality control feedback information is generated and returned.

In operation S310, a quality inspection result of the service data is determined based on quality inspection feedback information related to the quality inspection task.

Fig. 4 schematically shows a flow chart of a traffic processing method according to another embodiment of the present disclosure.

As shown in fig. 4, a traffic processing method according to another embodiment of the present disclosure includes operations S401 to S402.

In operation S401, in the case of writing incremental data in the database of the processing node, a database change log of the processing node is acquired.

In operation S402, in the event that the database change log is associated with a centralized authorization service, the incremental data is synchronized to the data warehouse.

According to embodiments of the present disclosure, a data warehouse may be written with incremental data, wherein the incremental data may be derived from business data brought about by ever-expanding traffic. When the incremental data is written in the database, a database change log of the processing node may be obtained, where the database change log may include information such as the time when the incremental data is written in the database, and the service attribute.

According to an embodiment of the present disclosure, if the database change log is related to a centralized authorization service, which may be a service in which a company centrally authorizes a relevant administrator or organization according to quality inspection rules to complete quality inspection, the incremental data may be synchronized to the data warehouse to further enrich the content of the data warehouse.

Fig. 5 schematically shows a block diagram of a traffic processing device according to an embodiment of the present disclosure.

As shown in fig. 5, the traffic processing apparatus 500 of this embodiment includes a screening module 510, a partitioning module 520, a first determining module 530, an allocating module 540, and a second determining module 550.

And the screening module 510 is configured to, in response to the triggering of the timing task, screen, by using a screening model, service data to be quality-checked from the data warehouse, where the service data is generated by the processing node after the centralized authorization service is completed.

And a partitioning module 520, configured to partition and encapsulate the service data into multiple quality inspection tasks according to the processing nodes associated with the service data.

A first determining module 530, configured to determine, for each quality inspection task, a quality inspection permission level of a plurality of quality inspection nodes in the quality inspection system based on the first node information of the processing node associated with the quality inspection task.

And the allocating module 540 is configured to allocate the quality inspection task to a first target quality inspection node by using a load balancing strategy based on the quality inspection permission levels of the plurality of quality inspection nodes, wherein the first target quality inspection node belongs to the plurality of quality inspection nodes, and the first target quality inspection node is configured to process the quality inspection task, generate and return quality inspection feedback information.

And a second determining module 550, configured to determine a quality inspection result of the service data based on quality inspection feedback information respectively related to the multiple quality inspection tasks.

According to an embodiment of the present disclosure, the first determining module 530 includes a comparing unit, a first determining unit, and an adjusting unit.

And the comparison unit is used for comparing the second node information of the quality inspection node with the first node information of each quality inspection node to obtain a comparison result.

And the first determination unit is used for determining the association relationship between the processing node and the quality inspection node based on the comparison result.

And the adjusting unit is used for adjusting the initial permission level of the quality inspection node based on the incidence relation to obtain the quality inspection permission level.

According to an embodiment of the present disclosure, the adjusting unit includes a first processing subunit, a second processing subunit, and a first determining subunit.

And the first processing subunit is used for performing degradation processing on the initial permission level of the quality testing node to obtain a quality testing permission level under the condition that the quality testing node is a lower node of the processing node.

And the second processing subunit is used for upgrading the initial permission level of the quality inspection node to obtain a quality inspection permission level under the condition that the quality inspection node is a superior node of the processing node.

And the first determining subunit is used for determining the quality inspection authority level as the initial authority level under the condition that the quality inspection node and the processing node have no dependency relationship.

According to an embodiment of the present disclosure, the assignment module 540 includes a second determination unit, a third determination unit, and an assignment unit.

And the second determining unit is used for determining at least one second target quality inspection node from the plurality of quality inspection nodes based on the quality inspection authority levels of the plurality of quality inspection nodes.

And the third determining unit is used for determining the first target quality inspection node from at least one second target quality inspection node by using a load balancing strategy.

And the distribution unit is used for distributing the quality inspection task to the first target quality inspection node.

According to an embodiment of the present disclosure, the second determination unit includes a second determination subunit.

And the second determining subunit is used for determining the quality inspection node as a second target quality inspection node under the condition that the quality inspection permission level of the quality inspection node is greater than the preset level for each quality inspection node.

According to an embodiment of the present disclosure, the third determination unit includes a third determination subunit and a fourth determination subunit.

And the third determining subunit is used for sequentially determining the working state of at least one second target quality inspection node according to the sequence of the quality inspection permission levels from high to low.

And the fourth determining subunit is configured to determine that the second target quality inspection node is the first target quality inspection node when the working state of the second target quality inspection node is the idle state.

According to an embodiment of the present disclosure, the screening module 510 includes an obtaining unit, a screening unit, and a sampling unit.

And the acquisition unit is used for responding to the triggering of the timing task and acquiring the first business data generated during the triggering period of the timing task from the data warehouse.

And the screening unit is used for screening the first service data by using the screening rule to obtain second service data.

And the sampling unit is used for sampling the second service data based on the screening frequency to obtain the service data.

According to the embodiment of the present disclosure, the service processing apparatus 500 further includes an obtaining module and a synchronizing module.

And the acquisition module is used for acquiring the database change log of the processing node under the condition that the incremental data is written in the database of the processing node.

And the synchronization module is used for synchronizing the incremental data to the data warehouse under the condition that the database change log is related to the centralized authorization service.

Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.

For example, any number of the screening module 510, the splitting module 520, the first determining module 530, the allocating module 540, and the second determining module 550 may be combined in one module/unit/sub-unit to be implemented, or any one of the modules/units/sub-units may be split into a plurality of modules/units/sub-units. Alternatively, at least part of the functionality of one or more of these modules/units/sub-units may be combined with at least part of the functionality of other modules/units/sub-units and implemented in one module/unit/sub-unit. According to an embodiment of the present disclosure, at least one of the screening module 510, the segmentation module 520, the first determination module 530, the assignment module 540, and the second determination module 550 may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in any one of three implementations of software, hardware, and firmware, or in a suitable combination of any of them. Alternatively, at least one of the screening module 510, the segmentation module 520, the first determination module 530, the assignment module 540 and the second determination module 550 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.

It should be noted that, the service processing apparatus portion in the embodiment of the present disclosure corresponds to the service processing method portion in the embodiment of the present disclosure, and the description of the service processing apparatus portion specifically refers to the service processing method portion, which is not described herein again.

Fig. 6 schematically shows a block diagram of an electronic device adapted to implement a traffic processing method according to an embodiment of the present disclosure. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 6, a computer electronic device 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. The processor 601 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure.

In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flows according to embodiments of the present disclosure by executing programs in the ROM 602 and/or RAM 603. It is to be noted that the programs may also be stored in one or more memories other than the ROM 602 and RAM 603. The processor 601 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

Electronic device 600 may also include input/output (I/O) interface 605, input/output (I/O) interface 605 also connected to bus 604, according to an embodiment of the disclosure. The electronic device 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.

According to an embodiment of the present disclosure, the method flow according to an embodiment of the present disclosure may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer-readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 602 and/or RAM 603 described above and/or one or more memories other than the ROM 602 and RAM 603.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method provided by the embodiments of the present disclosure, when the computer program product is run on an electronic device, the program code being configured to cause the electronic device to implement the business processing method provided by the embodiments of the present disclosure.

The computer program, when executed by the processor 601, performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of signals over a network medium, downloaded and installed via the communication section 609, and/or installed from a removable medium 611. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It will be appreciated by those skilled in the art that various combinations and/or combinations of the features recited in the various embodiments of the disclosure and/or the claims may be made even if such combinations or combinations are not explicitly recited in the disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A service processing method comprises the following steps:

responding to the triggering timing task, and screening business data to be quality checked from a data warehouse by using a screening model, wherein the business data is generated by a processing node after the centralized authorization business is completed;

according to a processing node associated with the service data, the service data is divided and packaged into a plurality of quality inspection tasks;

for each quality inspection task, determining quality inspection permission levels of a plurality of quality inspection nodes in a quality inspection system based on first node information of processing nodes associated with the quality inspection task;

distributing the quality inspection task to a first target quality inspection node by using a load balancing strategy based on quality inspection permission levels of the plurality of quality inspection nodes, wherein the first target quality inspection node belongs to the plurality of quality inspection nodes, and the first target quality inspection node is configured to process the quality inspection task, generate and return quality inspection feedback information; and

and determining a quality inspection result of the service data based on quality inspection feedback information respectively related to a plurality of quality inspection tasks.

2. The method of claim 1, wherein the determining a quality inspection authority level for a plurality of quality inspection nodes in a quality inspection system based on first node information for processing nodes associated with the quality inspection task comprises:

for each quality inspection node, comparing second node information of the quality inspection node with the first node information to obtain a comparison result;

determining an association relationship between the processing node and the quality inspection node based on the comparison result; and

and adjusting the initial permission level of the quality inspection node based on the incidence relation to obtain the quality inspection permission level.

3. The method of claim 2, wherein the association comprises an affiliation;

adjusting the initial permission level of the quality inspection node based on the association relationship to obtain the quality inspection permission level, wherein the adjusting the initial permission level of the quality inspection node based on the association relationship comprises the following steps:

performing degradation processing on the initial permission level of the quality inspection node to obtain the quality inspection permission level under the condition that the quality inspection node is a lower node of the processing node;

under the condition that the quality inspection node is a superior node of the processing node, upgrading the initial permission level of the quality inspection node to obtain the quality inspection permission level; and

and under the condition that the quality inspection node and the processing node have no dependency relationship, determining the quality inspection authority level as the initial authority level.

4. The method of claim 1, wherein the assigning the quality inspection task to a first target quality inspection node using a load balancing strategy based on quality inspection permission levels of the plurality of quality inspection nodes comprises:

determining at least one second target quality inspection node from the plurality of quality inspection nodes based on the quality inspection authority levels of the plurality of quality inspection nodes;

determining the first target quality inspection node from at least one second target quality inspection node by using the load balancing strategy; and

and distributing the quality inspection task to the first target quality inspection node.

5. The method of claim 4, wherein the determining at least one second target quality inspection node from the plurality of quality inspection nodes based on quality inspection permission levels of the plurality of quality inspection nodes comprises:

and for each quality inspection node, determining the quality inspection node as the second target quality inspection node under the condition that the quality inspection authority level of the quality inspection node is greater than a preset level.

6. The method of claim 4, wherein the determining the first target quality inspection node from the at least one second target quality inspection node using the load balancing policy comprises:

sequentially determining the working state of at least one second target quality inspection node according to the sequence of the quality inspection authority levels from high to low; and

and under the condition that the working state of the second target quality inspection node is an idle state, determining that the second target quality inspection node is the first target quality inspection node.

7. The method of claim 1, wherein the screening model is configured with a screening frequency and a screening rule in response to triggering a timing task;

the method for screening the service data to be subjected to quality inspection from the data warehouse by using the screening model comprises the following steps:

in response to triggering the timing task, acquiring first business data generated during the triggering period of the timing task from the data warehouse;

screening the first service data by using the screening rule to obtain second service data; and

and sampling the second service data based on the screening frequency to obtain the service data.

8. The method of claim 1, further comprising:

under the condition that incremental data are written in the database of the processing node, acquiring a database change log of the processing node; and

synchronizing the incremental data to the data warehouse if the database change log is associated with a centralized authorization service.

9. A traffic processing apparatus, comprising:

the screening module is used for responding to the triggering timing task and screening business data to be subjected to quality inspection from the data warehouse by using the screening model, wherein the business data is generated by the processing node after the centralized authorization service is completed;

the segmentation module is used for segmenting and packaging the service data into a plurality of quality inspection tasks according to the processing nodes related to the service data;

the first determination module is used for determining the quality inspection permission levels of a plurality of quality inspection nodes in the quality inspection system based on the first node information of the processing nodes associated with the quality inspection tasks for each quality inspection task;

the distribution module is used for distributing the quality inspection task to a first target quality inspection node by using a load balancing strategy based on quality inspection permission levels of the plurality of quality inspection nodes, wherein the first target quality inspection node belongs to the plurality of quality inspection nodes, and the first target quality inspection node is configured to process the quality inspection task, generate and return quality inspection feedback information; and

and the second determining module is used for determining the quality inspection result of the service data based on the quality inspection feedback information respectively related to the quality inspection tasks.

10. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-8.

11. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any one of claims 1 to 8.

12. A computer program product comprising a computer program which, when executed by a processor, carries out the method according to any one of claims 1 to 8.